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Data Science with Python

Introduction

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Modern IT system nowadays is driven by capturing, storing and analysing data for various needs in business, computing, forecasting or marketing. Its involved multidisciplinary approach of using mathematical models, statistics, graphs and logic. For many researchers, Python is a first-class tool mainly because of its libraries for the needs of data science.

In this workshop, we will cover various techniques used in data science using Python libraries such as NumPy, Pandas, MatPlotlib and Scikit-Learn. Also deal with a fundamental part of Python programming involved variables, objects, operators, function, loop, conditional statement, and data structure concept.

Prerequisites: It would be nice to have a very basic knowledge of code writing in any programming language.

Registration & Fee

Registration link
https://docs.google.com/forms/d/e/1FAIpQLSe9opFqbk0ibZOH_gghaiTNGGEWhbrBnBS1rKEoIhB9cDx2OQ/viewform

Fee Info

 

Student (UMP dan Non UMP)**

Guru ASK

UMP Staff

Non UMP/Industry

Eary bird (paid and register by 25 march 2020)

RM150

RM150

RM200

RM300

Normal price (25 March onwards)

RM150

RM150

RM300

RM400

** Email student card to This email address is being protected from spambots. You need JavaScript enabled to view it.

Payment Method

Bank in/ transfer to MAYBANK ACCOUNT
Account Number: 5562 3530 4266
Account Name: Bendahari UMP
Bank Name: Maybank (Malaysian Banking Berhad), Cawangan Pekan
Bank Address: 96, Jalan Sultan Abdullah, 26600 Pekan, Pahang Darul Makmur
 
Contact Person
Mohd. Zamri Osman
This email address is being protected from spambots. You need JavaScript enabled to view it.
019-9126239

Tentative

 

8AM

9AM

10AM

11AM

12AM

1AM

2AM

3AM

4AM

5AM

Saturday
(25/7/2020)

Registration and breakfast

Introduction to Python:
Software Installation, Variables, Objects, Operatos, Functions and Loop

Introduction to Python:
Conditional Statements, String

Break

Data Structure and File Manpulation:
List, Tuple, Set, Dictionary.
Files - text, CSV, JSON, binary

Sunday
(26/7/2020)

Breakfast

Data Analysis & Visualization:
Numpy, Pandas

Data Analysis & Visualization:
Matplotlib

Break

Machine Learning:
Scikit Learn, Support Vector Machine, K Means, Image Features

 


 

 

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Faculty of Computing (FKOM)
College of Computing and Applied Sciences,

Universiti Malaysia Pahang
Lebuhraya Tun Razak
26300 Gambang,
Kuantan, Pahang Darul Makmur.

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